generate_proposal_sample_changea_cor

This function is used to generate samples based on sampling covariance matrix and rg matrix for target disease

Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.

Yujie Zhao

pleioh2g

Estimation of Pleiotropic Heritability from Genome-Wide
Association Studies (GWAS) Summary Statistics

generate_proposal_sample_changea_cor function

<dl><dt>Results_full_rg</dt>
<dd>genetic correlation matrix.</dd>
<dt>Results_full_rg_array</dt>
<dd>genetic correlation jackknife-block array.</dd>
<dt>plei_h2_idx</dt>
<dd>index of the target disease in the rg_mat.</dd>
<dt>ratio_a</dt>
<dd>corrected ratio.</dd></dl>

Arguments

Generate samples based on sampling covariance matrix and rg matrix for target disease — generate_proposal_sample_changea_cor

<dl>

<dt>Results_full_rg</dt>
<dd>genetic correlation matrix.</dd>


<dt>Results_full_rg_array</dt>
<dd>genetic correlation jackknife-block array.</dd>


<dt>plei_h2_idx</dt>
<dd>index of the target disease in the rg_mat.</dd>


<dt>ratio_a</dt>
<dd>corrected ratio.</dd>

</dl>

generate_proposal_sample_changea_cor: Generate samples based on sampling covariance matrix and rg matrix for target disease

Description

Usage

Value

Arguments

Examples